Trends and technologies of video coding

The current video coding uses block based hybrid architecture,which uses predictive,transform,quantization and entropy coding techniques to efficiently compress video signals.Further optimizations on current architectures provide more flexible processing and coding for local characteristics of video...

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Main Authors: Jiantong ZHOU, Haitao YANG, Dong LIU, Xiang MA, Tian WANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-08-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017248/
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author Jiantong ZHOU
Haitao YANG
Dong LIU
Xiang MA
Tian WANG
author_facet Jiantong ZHOU
Haitao YANG
Dong LIU
Xiang MA
Tian WANG
author_sort Jiantong ZHOU
collection DOAJ
description The current video coding uses block based hybrid architecture,which uses predictive,transform,quantization and entropy coding techniques to efficiently compress video signals.Further optimizations on current architectures provide more flexible processing and coding for local characteristics of video image signals.Video coding based on machine learning was expected to change the existing hybrid coding framework partially or comprehensively,and bring new research ideas to video coding.In addition to existing 2D video signal,the future of video also needs to spherical video coding and volumetric video coding for AR/VR applications,the new video source data format of the video encoding technology has brought new opportunities and challenges.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2017-08-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-15944af2a2ab42058f857f02b696cbad2025-01-15T03:12:16ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-08-0133162559600515Trends and technologies of video codingJiantong ZHOUHaitao YANGDong LIUXiang MATian WANGThe current video coding uses block based hybrid architecture,which uses predictive,transform,quantization and entropy coding techniques to efficiently compress video signals.Further optimizations on current architectures provide more flexible processing and coding for local characteristics of video image signals.Video coding based on machine learning was expected to change the existing hybrid coding framework partially or comprehensively,and bring new research ideas to video coding.In addition to existing 2D video signal,the future of video also needs to spherical video coding and volumetric video coding for AR/VR applications,the new video source data format of the video encoding technology has brought new opportunities and challenges.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017248/video codingmachine learningvirtual realityspherical videovolumetric video
spellingShingle Jiantong ZHOU
Haitao YANG
Dong LIU
Xiang MA
Tian WANG
Trends and technologies of video coding
Dianxin kexue
video coding
machine learning
virtual reality
spherical video
volumetric video
title Trends and technologies of video coding
title_full Trends and technologies of video coding
title_fullStr Trends and technologies of video coding
title_full_unstemmed Trends and technologies of video coding
title_short Trends and technologies of video coding
title_sort trends and technologies of video coding
topic video coding
machine learning
virtual reality
spherical video
volumetric video
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017248/
work_keys_str_mv AT jiantongzhou trendsandtechnologiesofvideocoding
AT haitaoyang trendsandtechnologiesofvideocoding
AT dongliu trendsandtechnologiesofvideocoding
AT xiangma trendsandtechnologiesofvideocoding
AT tianwang trendsandtechnologiesofvideocoding